Conceptual Design of Human-Drone Communication in Collaborative Environments
April 30, 2020 Β· Declared Dead Β· π 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Hans Dermot Doran, Monika Reif, Marco Oehler, Curdin Stoehr, Pierluigi Capone
arXiv ID
2005.00127
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CV
Citations
10
Venue
2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)
Last Checked
4 months ago
Abstract
Autonomous robots and drones will work collaboratively and cooperatively in tomorrow's industry and agriculture. Before this becomes a reality, some form of standardised communication between man and machine must be established that specifically facilitates communication between autonomous machines and both trained and untrained human actors in the working environment. We present preliminary results on a human-drone and a drone-human language situated in the agricultural industry where interactions with trained and untrained workers and visitors can be expected. We present basic visual indicators enhanced with flight patterns for drone-human interaction and human signaling based on aircraft marshaling for humane-drone interaction. We discuss preliminary results on image recognition and future work.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted